Khan, W, Topham, L, Khan, B, Yasen, S, Al-Dahiri, A, Vellasco, M, Kolivand, H and Hussain, A (2022) Acceptance and Perception of Covid-19 Vaccination for Children. In: 2022 IEEE World Congress on Computational Intelligence . (2022 IEEE World Congress on Computational Intelligence, Padova, Italy).

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Abstract

Covid-19 vaccine hesitancy and acceptance delay is an unprecedented challenge for concerned authorities. Existing studies lack the investigation about public vaccination acceptance, specifically for children. In this study, we surveyed the adult population in the UK to determine the diversity in public perception and acceptance of Covid-19 vaccination specifically for the children, among different sociodemographic groups. Statistical results and intelligent clustering outcomes indicate significant relationships between sociodemographic diversity and vaccination acceptance for children and their families. Acceptability for children is significantly dependent on ethnicity (p = 3.7e-05), age group, and gender, where only 47% of participants show willingness towards children’s vaccination. Primary dataset in this study, along with the experimental outcomes, might be useful for public awareness and policy makers towards better preparation for future epidemics as well as working globally to combat the ongoing Covid-19 variations while running effective vaccination campaigns in the identified sociodemographic groups.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	Epidemics and mental wellbeing; Covid-19 Vaccination; Mental stress Covid-19; Covid-19 vaccine dataset; Covid-19 sociodemographic
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions:	Computer Science & Mathematics
Publisher:	IEEE
SWORD Depositor:	A Symplectic
Date Deposited:	28 Apr 2022 09:07
Last Modified:	06 Oct 2022 10:46
DOI or ID number:	10.1109/IJCNN55064.2022.9892983
URI:	https://researchonline.ljmu.ac.uk/id/eprint/16720

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